Video Recording Luminance Control for Nighttime Object Identification
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Solution Overview
Problem
Existing video recording technologies struggle to identify both bright and dark objects effectively, especially at nighttime when the dynamic range is not sufficiently expanded.
Innovation Solution
A video recording control device and method that divides imaging data into regions, calculates luminance, sets light source regions based on a threshold, adjusts luminance to an average or predetermined value, and records post-adjustment data to enhance visibility of both bright and dark objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the dynamic range is expanded for brightness (WDR/HDR), then the ability to capture bright objects is improved, but the ability to identify both bright and dark objects effectively at nighttime is not sufficiently improved
Solution Approach 1:
The imaging data is divided into multiple regions (e.g., grid cells or zones) based on spatial location. This segmentation allows the system to process different regions independently, enabling selective luminance adjustment in specific areas while preserving the original appearance of other regions. The segmentation is performed before luminance calculation and adjustment operations.
Solution Approach 2:
Different regions of the imaging data are treated differently based on their luminance characteristics. Light source regions (high luminance areas) are identified and processed separately from other regions. The luminance adjusting unit applies different processing rules to light source regions compared to non-light-source regions, allowing optimization of both bright and dark object identification without uniformly processing the entire image.
2Reliability
If luminance of light source region is adjusted to average value or predetermined value, then visibility of both bright and dark objects is improved, but the original luminance information is modified
Solution Approach 1:
The imaging data is divided into regions and luminance is calculated for each region before the luminance adjustment is applied. This preliminary calculation and classification allows the system to prepare the data structure needed for selective adjustment while preserving the original luminance information in regions that do not require modification. The region division and luminance calculation steps are performed in advance of the actual adjustment operation.
Data Source
AI summary
A video recording control device includes an imaging data obtaining unit that obtains imaging data; a luminance calculating unit that divides the imaging data into regions and calculates luminance for each divided region; a light source region setting unit that sets, as light source regions, the regions for which the luminance calculated by the luminance calculating unit is equal to or higher than a luminance threshold value; a luminance adjusting unit that adjusts the luminance of the light source regions either to the average value of luminance of other regions excluding the light source regions or to a predetermined value, and obtains post-adjustment data; and a recording control unit that records, in a recording unit, the imaging data along with the post-adjustment data having the luminance adjusted by the luminance adjusting unit.